Estimation of Unemployment Duration in Botoşani County Using Survival Analysis
In this paper we aim at estimating the unemployment duration in Botosani County in order tostudy the impact of individual characteristics (gender, age, place of residence, unemploymentbenefit, etc.) on the length of unemployment spells. We use Cox regression model to measure theeffects of gender, ag...
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Format: | Article |
Language: | English |
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Ovidius University Press
2017-01-01
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Series: | Ovidius University Annals: Economic Sciences Series |
Subjects: | |
Online Access: | http://stec.univ-ovidius.ro/html/anale/ENG/2017/Section-III/7.pdf |
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author | Darabă Gabriel Sandu Christiana Brigitte Jaba Elisabeta |
author_facet | Darabă Gabriel Sandu Christiana Brigitte Jaba Elisabeta |
author_sort | Darabă Gabriel |
collection | DOAJ |
description | In this paper we aim at estimating the unemployment duration in Botosani County in order tostudy the impact of individual characteristics (gender, age, place of residence, unemploymentbenefit, etc.) on the length of unemployment spells. We use Cox regression model to measure theeffects of gender, age, residential environment, etc. on the hazard rate of leaving unemploymentandKaplan-Meier estimator to compare survival probabilities among different categories ofunemployed persons. The study is carried out on a sample of 200 unemployment spellsregisteredwith the Employment Agency of Botoşani County from January 2012 to December 2015. Theresults reveal that place of residence, unemployment benefit and unemployed category have asignificant impact on unemployment spells. |
first_indexed | 2024-04-12T18:32:44Z |
format | Article |
id | doaj.art-2cb887a9bfb9454ba4a9ed6b5d42dccb |
institution | Directory Open Access Journal |
issn | 2393-3127 2393-3127 |
language | English |
last_indexed | 2024-04-12T18:32:44Z |
publishDate | 2017-01-01 |
publisher | Ovidius University Press |
record_format | Article |
series | Ovidius University Annals: Economic Sciences Series |
spelling | doaj.art-2cb887a9bfb9454ba4a9ed6b5d42dccb2022-12-22T03:21:01ZengOvidius University PressOvidius University Annals: Economic Sciences Series2393-31272393-31272017-01-01XVII1155161Estimation of Unemployment Duration in Botoşani County Using Survival AnalysisDarabă Gabriel0Sandu Christiana Brigitte1Jaba Elisabeta2“Alexandru Ioan Cuza” University of Iasi“Alexandru Ioan Cuza” University of Iasi“Alexandru Ioan Cuza” University of IasiIn this paper we aim at estimating the unemployment duration in Botosani County in order tostudy the impact of individual characteristics (gender, age, place of residence, unemploymentbenefit, etc.) on the length of unemployment spells. We use Cox regression model to measure theeffects of gender, age, residential environment, etc. on the hazard rate of leaving unemploymentandKaplan-Meier estimator to compare survival probabilities among different categories ofunemployed persons. The study is carried out on a sample of 200 unemployment spellsregisteredwith the Employment Agency of Botoşani County from January 2012 to December 2015. Theresults reveal that place of residence, unemployment benefit and unemployed category have asignificant impact on unemployment spells.http://stec.univ-ovidius.ro/html/anale/ENG/2017/Section-III/7.pdfunemployment spellsKaplan - Meier estimatorCox modelcensored datahazard rate |
spellingShingle | Darabă Gabriel Sandu Christiana Brigitte Jaba Elisabeta Estimation of Unemployment Duration in Botoşani County Using Survival Analysis Ovidius University Annals: Economic Sciences Series unemployment spells Kaplan - Meier estimator Cox model censored data hazard rate |
title | Estimation of Unemployment Duration in Botoşani County Using Survival Analysis |
title_full | Estimation of Unemployment Duration in Botoşani County Using Survival Analysis |
title_fullStr | Estimation of Unemployment Duration in Botoşani County Using Survival Analysis |
title_full_unstemmed | Estimation of Unemployment Duration in Botoşani County Using Survival Analysis |
title_short | Estimation of Unemployment Duration in Botoşani County Using Survival Analysis |
title_sort | estimation of unemployment duration in botosani county using survival analysis |
topic | unemployment spells Kaplan - Meier estimator Cox model censored data hazard rate |
url | http://stec.univ-ovidius.ro/html/anale/ENG/2017/Section-III/7.pdf |
work_keys_str_mv | AT darabagabriel estimationofunemploymentdurationinbotosanicountyusingsurvivalanalysis AT sanduchristianabrigitte estimationofunemploymentdurationinbotosanicountyusingsurvivalanalysis AT jabaelisabeta estimationofunemploymentdurationinbotosanicountyusingsurvivalanalysis |